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<table width="100%" summary="page for H_USMortality"><tr><td>H_USMortality</td><td style="text-align: right;">R Documentation</td></tr></table>

<h2> Mortality Rates in US by Cause and Gender </h2>

<h3>Description</h3>

<p>These datasets record mortality rates across all ages in the USA by
cause of death, sex, and rural/urban status, 2011&ndash;2013. The two
datasets represent the national aggregate rates and the region-wise
rates for each administrative region under the Department of Health
and Human Services (HHS).
</p>


<h3>Usage</h3>

<pre>
USMortality
USRegionalMortality
</pre>


<h3>Format</h3>

<p><code>USRegionalMortality</code> is a data frame with 400 observations on
the following 6 variables.
</p>

<dl>
<dt><code>Region</code></dt><dd><p>A factor specifying HHS Region. See details.</p>
</dd>
<dt><code>Status</code></dt><dd><p>A factor with levels <code>Rural</code> and <code>Urban</code></p>
</dd>
<dt><code>Sex</code></dt><dd><p>A factor with levels <code>Female</code> and <code>Male</code></p>
</dd>
<dt><code>Cause</code></dt><dd><p>Cause of death. A factor with levels
<code>Alzheimers</code>, <code>Cancer</code>, <code>Cerebrovascular diseases</code>,
<code>Diabetes</code>, <code>Flu and pneumonia</code>, <code>Heart disease</code>,
<code>Lower respiratory</code>, <code>Nephritis</code>, <code>Suicide</code>, and
<code>Unintentional injuries</code></p>
</dd>
<dt><code>Rate</code></dt><dd><p>Age-adjusted death rate per 100,000 population</p>
</dd>
<dt><code>SE</code></dt><dd><p>Standard error for the rate</p>
</dd>
</dl>

<p><code>USMortality</code> is a data frame with 40 observations, containing
the same variables with the exception of <code>Region</code>.
</p>


<h3>Details</h3>

<p> The region-wise data give estimated rates separately for each
of 10 HHS regions. The location of the regional offices and their
coverage area, available from
<a href="https://www.hhs.gov/about/agencies/iea/regional-offices/index.html">https://www.hhs.gov/about/agencies/iea/regional-offices/index.html</a>,
is given below.
</p>

<dl>
<dt>HHS Region 01 - Boston: </dt><dd><p> Connecticut, Maine, Massachusetts,
New Hampshire, Rhode Island, and Vermont </p>
</dd>
<dt> HHS Region 02 - New York: </dt><dd><p> New Jersey, New York, Puerto
Rico, and the Virgin Islands </p>
</dd>
<dt>HHS Region 03 - Philadelphia: </dt><dd><p> Delaware, District of
Columbia, Maryland, Pennsylvania, Virginia, and West Virginia</p>
</dd>
<dt>HHS Region 04 - Atlanta: </dt><dd><p> Alabama, Florida, Georgia, Kentucky,
Mississippi, North Carolina, South Carolina, and Tennessee</p>
</dd>
<dt>HHS Region 05 - Chicago: </dt><dd><p> Illinois, Indiana, Michigan,
Minnesota, Ohio, and Wisconsin</p>
</dd>
<dt>HHS Region 06 - Dallas: </dt><dd><p> Arkansas, Louisiana, New Mexico,
Oklahoma, and Texas </p>
</dd>
<dt>HHS Region 07 - Kansas City: </dt><dd><p> Iowa, Kansas, Missouri, and
Nebraska</p>
</dd>
<dt>HHS Region 08 - Denver: </dt><dd><p> Colorado, Montana, North Dakota,
South Dakota, Utah, and Wyoming</p>
</dd>
<dt>HHS Region 09 - San Francisco: </dt><dd><p> Arizona, California, Hawaii,
Nevada, American Samoa, Commonwealth of the Northern Mariana
Islands, Federated States of Micronesia, Guam, Marshall Islands,
and Republic of Palau</p>
</dd>
<dt>HHS Region 10 - Seattle: </dt><dd><p> Alaska, Idaho, Oregon, and
Washington</p>
</dd> </dl>
 

<h3>References</h3>

<p>Rural Health Reform Policy Research Center. _Exploring Rural and Urban
Mortality Differences_, August 2015 Bethesda, MD. 
<a href="https://ruralhealth.und.edu/projects/health-reform-policy-research-center/rural-urban-mortality">https://ruralhealth.und.edu/projects/health-reform-policy-research-center/rural-urban-mortality</a>
</p>


<h3>Examples</h3>

<pre>
dotplot(reorder(Cause, Rate) ~ Rate | Status,
        data = USMortality, groups = Sex,
        par.settings = simpleTheme(pch = 16), auto.key = list(columns = 2),
        scales = list(x = list(log = TRUE, equispaced.log = FALSE)))
dotplot(reorder(Cause, Rate):Sex ~ Rate | Status,
        data = USRegionalMortality, groups = Sex,
        scales = list(x = list(log = TRUE, equispaced.log = FALSE)))
</pre>


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